A method of optimizing an operating state of a vehicle includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as affecting a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, one or more effects of the classified social media data on the transportation system. The method further includes optimizing, using a third neural network of the hybrid neural network, a state of at least one vehicle of the transportation system, wherein the optimizing addresses an influence of the predicted one or more effects on the at least one vehicle.

A system for transportation includes a vehicle occupied by a rider, and an artificial intelligence system for processing a voice of the rider to classify an emotional state of the rider and optimizing at least one operating parameter of the vehicle to improve the emotional state of the rider.

A transportation system includes: a neural network to determine current inferred hormonal state data of an occupant of the vehicle based in part on received sensor data relating to the occupant; and an artificial intelligence-based system trained on a set of outcomes related to occupant in-vehicle experience. The artificial intelligence-based system is configured to: retrieve sensor data of the occupant; identify a difference between the current inferred hormonal state data and a desired hormonal state; determine a variation including one of configuring the vehicle for aggressive driving performance or configuring the vehicle for non-aggressive driving performance to promote the desired hormonal state of the occupant responsive to the current inferred hormonal state; and induce the variation in one or more occupant experience parameters to achieve at least one desired outcome.

A computerized exchange network makes available on the Internet collected information of items under inspection, such as goods, real estate, or the like. In one aspect, the items and collected information, such as images and videos, are added to a virtual showroom or other virtual inspection site that presents an inventory of such goods, real estate, or the like available from multiple sellers and/or locations. In another aspect, detailed objective information about the items is provided. In another aspect, a data structure includes desired criteria for a desired item and provides an alert when an item of interest matches the desired criteria.

A system may collect human operator interactions with a vehicle control system interface operatively connected to a vehicle, and may collect vehicle response and operating conditions associated at least contemporaneously with the human operator interaction. Environmental information is collected contemporaneously with the human operator interaction. An artificial intelligence system is trained to control the vehicle with an optimized margin of safety while mimicking the human operator, the training including instructing the artificial intelligence system to take input from an environment data collection module about instances of environmental information associated with the contemporaneously collected vehicle response and operating conditions, where the optimized margin of safety is achieved by training the artificial intelligence system to control the vehicle based on a set of human operator interaction data collected from interactions of an expert human vehicle operator and a set of outcome data from a set of vehicle safety events.

An embodiment terminal system of a taxi vehicle includes a first terminal located in the taxi vehicle and configured to display media content provided from a server that provides a call/allocation service on a screen, wherein the media content displayed through the first terminal is varied based on whether a passenger in the taxi vehicle used the call/allocation service to board the taxi vehicle.

Vehicle systems configured to interact with remotely located smart systems are disclosed. An example vehicle includes memory, machine-readable instructions, and one or more processors. The one or more processors are configured to execute the machine-readable instructions to send, from the vehicle to a smart system located remotely relative to the vehicle, a first message configured to cause the smart system to adjust one or more functions of a device controllable via the smart system. The one or more processors are further configured to execute the machine-readable instructions to receive, at the vehicle from the smart system, a second message including information associated with the smart system or the device.

Technical solutions are described that provide in-flight virtual experiences for passengers onboard a commercial passenger vehicle. In some examples, the in-flight virtual experiences simulate real-life experiences that relate to the respective travels or journeys of the passengers. For example, the in-flight virtual experiences can simulate, in various extended reality (XR) forms (e.g., virtual reality (VR), augmented reality (AR), mixed reality (MR)), tourism attractions at journey destinations, vendor goods and services, and the like. The in-flight virtual experiences are provided via virtual experience applications implemented by an in-vehicle system, and multiple passengers can interact and collaborate in a combined session for a virtual experience application. Passengers can use the virtual experience applications to control aspects of the in-flight virtual experiences, and further to pre-configure, pre-arrange, or reserve aspects of corresponding real-life virtual experiences while the passengers are still in transit.

Described herein are various systems and processes for vehicles for delivery of real-time, on-demand orders for perishable goods, and operations thereof. The automated delivery vehicle may include a food transport container and various sensors configured to determine the location and/or surroundings of the vehicle. The automated delivery vehicle may further include a display and/or other output source configured to provide outputs to persons surrounding the automated delivery vehicle. Such outputs may include, for example, an information graphical representation (e.g., provided on a display), an audio output, and/or data communicated to a wireless device.

Systems, apparatuses, and methods for trusted vehicle messaging may include receiving a communication from one or more of an internal vehicle component or an external communication system and composing a trusted message to be displayed in response to the received communication. Content may be managed to be displayed on one or more displays supported by a body of a vehicle.